Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6024185 | NeuroImage | 2016 | 9 Pages |
Abstract
We consider the task of inferring causal relations in brain imaging data with latent confounders. Using a priori knowledge that randomized experimental conditions cannot be effects of brain activity, we derive statistical conditions that are sufficient for establishing a causal relation between two neural processes, even in the presence of latent confounders. We provide an algorithm to test these conditions on empirical data, and illustrate its performance on simulated as well as on experimentally recorded EEG data.
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Authors
Moritz Grosse-Wentrup, Dominik Janzing, Markus Siegel, Bernhard Schölkopf,